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Cartographie par télédétection THRS des plantations ligneuses (anacardiers, manguiers, teck…). Lelong Camille, Borne Frédéric, Chaumont Marc. 2024. . CIRAD. Cotonou : CIRAD-Projet OBSYDYA, 1 p. Atelier de présentation des premiers résultats à mi-parcours du projet OBSYDYA, Cotonou, Bénin, 7 Mars 2024/7 Mars 2024.

Deep learning-based land use and land cover changes detection from satellite imagery : a case study of the city of Richard Toll. Ba Mandicou, Thiam Pape Ibrahima, Delay Etienne, Ngom Charles Abdoulaye, Diop Idy, Bah Alassane. 2024. In : ICMVA '24: Proceedings of the 2024 7th International Conference on Machine Vision and Applications. SCIEI, SSS. New York : ACM, 60-68. ISBN 979-8-4007-1655-3 International Conference on Machine Vision and Applications (ICMVA 2024). 7, Singapore, Singapour, 12 Mars 2024/14 Mars 2024.

Linking genetic markers and crop model parameters using neural networks to enhance genomic prediction of integrative traits. Larue Florian, Rouan Lauriane, Pot David, Rami Jean-François, Luquet Delphine, Beurier Grégory. 2024. Frontiers in Plant Science, 15:1393965, 13 p.

Reconstruction spatio-temporelle à haut débit de l'architecture du système racinaire à partir de l'imagerie frugale en utilisant le suivi topologique et l'apprentissage profond. Gandeel Loaï. 2024. Nice : Université Côte d'Azur, 41 p. Mémoire de master 2 : Mathématique appliquées et modélisation : Université Côte d'Azur

Semantic segmentation of forest point clouds using neural network. Bai Yuchen, Durand Jean-Baptiste, Vincent Grégoire, Forbes Florence. 2024. In : Recueil des résumés longs : 55èmes Journées de statistique de la SFdS. SFdS. Bordeaux : SFdS, 250-259. Journées de statistique de la SFdS (JDS2024). 55, Bordeaux, France, 27 Mai 2024/31 Mai 2024.

Application du DEEP LEARNING au traitement de données LIDAR TERRESTRE pour l'évaluation de TRAITS ARCHITECTURAUX et de fonctionnement d'arbres fruitiers. Rojas bustos Juan Pablo. 2023. Montpellier : Université de Montpellier, 154 p. Thèse de doctorat : Informatique : Université de Montpellier

Data science and network analysis for food security and agricultural monitoring. Interdonato Roberto. 2023. Montpellier : Université de Montpellier, 191 p. Habilitation à diriger des recherches : Informatique : Université de Montpellier

Deep semi-supervised clustering for multi-variate time-series. Ienco Dino, Interdonato Roberto. 2023. Neurocomputing, 516 : 36-47.

From prototype to inference: A pipeline to apply deep learning in sorghum panicle detection. James Chrisbin, Gu Yanyang, Potgieter Andries, David Etienne, Madec Simon, Guo Wei, Baret Frédéric, Eriksson Anders, Chapman Scott. 2023. Plant Phenomics, 5:0017, 16 p.

Multisensor temporal unsupervised domain adaptation for land cover mapping with spatial pseudo-labeling and adversarial learning. Capliez Emmanuel, Ienco Dino, Gaetano Raffaele, Baghdadi Nicolas, Hadj Salah Adrien, Le Goff Matthieu, Chouteau Florient. 2023. IEEE Transactions on Geoscience and Remote Sensing, 61:5405716 : 1-16.

Pl@ntNet Crops: Merging citizen science observations and structured survey data to improve crop recognition for agri-food-environment applications. van der Velde Marijn, Goeau Hervé, Bonnet Pierre, d'Andrimont Raphaël, Yordanov M., Affouard Antoine, Claverie M., Czucz B., Elvekjaer N., Martinez-Sanchez L., Rotllan-Puig X., Sima A., Verhegghen Astrid, Joly Alexis. 2023. Environmental Research Letters, 18:025005, 12 p.

Real-time Image detection of cocoa pods in natural environment using deep learning algorithms. Rojas bustos Juan Pablo, Lammoglia Sabine Karen Djidemi, Borianne Philippe, Théveny Frédéric, Cabrera-Bosquet Llorenç. 2023. In : International Symposium on Cocoa Research 2022 - ISCR 2022. Booklet of Abstracts. Montpellier : ICCO-CIRAD, 99-100. International Symposium on Cocoa Research (ISCR 2022), Montpellier, France, 5 Décembre 2022/7 Décembre 2022.

Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination. Bai Yuchen, Durand Jean-Baptiste, Vincent Grégoire, Forbes Florence. 2023. . NeurIPS. San Diego : Neural Information Procssing Systems Foundation, 1-21. Conference on Neural Information Processing Systems (NeurIPS 2023). 37, New Orleans, États-Unis, 10 Décembre 2023/16 Décembre 2023.

Temporal-domain adaptation for satellite image time-series land-cover mapping with adversarial learning and spatially aware self-training. Capliez Emmanuel, Ienco Dino, Gaetano Raffaele, Baghdadi Nicolas, Salah Adrien Hadj. 2023. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16 : 3645-3675.

A constrastive semi-supervised deep learning framework for land cover classification of satellite time series with limited labels. Ienco Dino, Gaetano Raffaele, Interdonato Roberto. 2023. Neurocomputing, 567:127031, 11 p.

Évaluation du potentiel des réseaux de neurones avec apprentissage profond pour la discrimination par télédétection spatiale de plantations arborées tropicales. Zahi Abir. 2023. Alès : IMT Mines Alès, 48 p. Mémoire de fin d'études : IMT Minès Alès

Modelling the functional dependency between root and shoot compartments to predict the impact of the environment on the architecture of the whole plant: Methodology for model fitting on simulated data using Deep Learning techniques. Masson Abel Louis, Caraglio Yves, Nicolini Eric-André, Borianne Philippe, Barczi Jean-François. 2022. In Silico Plants, 4 (1):diab036, 20 p.

SegVeg: Segmenting rgb images into green and senescent vegetation by combining deep and shallow methods. Serouart Mario, Madec Simon, David Etienne, Velumani Kaaviya, Lopez-Lozano Paul, Weiss Marie, Baret Frédéric. 2022. Plant Phenomics, 17 p.

Attentive spatial temporal graph CNN for land cover mapping from multi temporal remote sensing data. Censi Alessandro Michele, Ienco Dino, Gbodjo Yawogan Jean Eudes, Pensa Ruggero Gaetano, Interdonato Roberto, Gaetano Raffaele. 2021. IEEE Access, 9:20324283 : 23070-23082.

Conditional multi-task learning for plant disease identification. Lee Sue Han, Goeau Hervé, Bonnet Pierre, Joly Alexis. 2021. In : 2020 25th International Conference on Pattern Recognition (ICPR). ICPR. Milan : IEEE, 3320-3327. ISBN 978-1-7281-8809-6 International Conference on Pattern Recognition (ICPR 2021). 25, Milan, Italie, 10 Janvier 2021/15 Janvier 2021.

Tutorial: Machine and Deep Learning for Earth Observation: Advanced Approaches and Practical Use Cases – Abstract. Ienco Dino, Interdonato Roberto. 2021. In : Proceedings of the 29th Italian Symposium on Advanced Database Systems Pizzo Calabro (VV), Italy, September 5-9, 2021. Greco Sergio (ed.), Lenzerini Maurizio (ed.), Masciari Elio (ed.), Tagarelli Andrea (ed.). Pizzo Calabro : CEUR Workshop Proceedings, Résumé, iv- iv. SEBD 2021: Italian Symposium on Advanced Database Systems (SEBD - Sistemi Evoluti per Basi di Dati). 29, Pizzo Calabro, Italie, 5 Septembre 2021/9 Septembre 2021.

A neural network strategy for supervised classification via the Learning Under Privileged Information paradigm. Sacco Ludovica, Ienco Dino, Interdonato Roberto. 2021. In : Proceedings of the 29th Italian Symposium on Advanced Database Systems Pizzo Calabro (VV), Italy, September 5-9, 2021. Greco Sergio (ed.), Lenzerini Maurizio (ed.), Masciari Elio (ed.), Tagarelli Andrea (ed.). Pizzo Calabro : CEUR Workshop Proceedings, 83-93. SEBD 2021: Italian Symposium on Advanced Database Systems (SEBD - Sistemi Evoluti per Basi di Dati). 29, Pizzo Calabro, Italie, 5 Septembre 2021/9 Septembre 2021.

Attention-based recurrent neural network for plant disease classification. Lee Sue Han, Goeau Hervé, Bonnet Pierre, Joly Alexis. 2020. Frontiers in Plant Science, 11:601250, 8 p.

Deep multivariate time series embedding clustering via attentive-gated autoencoder. Ienco Dino, Interdonato Roberto. 2020. In : Advances in knowledge discovery and data mining: 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings, Part I. Lauw H.W. (ed.), Wong R.C.W. (ed.), Ntoulas A. (ed.), Lim E.P. (ed.), Ng S.K. (ed.), Pan S.J. (ed.). Cham : Springer, 318-329. (Lecture Notes in Artificial Intelligence, 12084) ISBN 978-3-030-47425-6 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020). 24, Singapour, Singapour, 11 Mai 2020/14 Mai 2020.

Generalized knowledge distillation for multi-sensor remote sensing classification: an application to land cover mapping. Ienco Dino. 2020. In : ISPRS Annals of the photogrammetry, remote sensing and spatial information sciences, Volume V-2-2020. Paparoditis N. (ed.), Mallet C. (ed.), Lafarge F. (ed.), Remondino F. (ed.), Toschi I. (ed.), Fuse T. (ed.). ISPRS. Hanovre : ISPRS, 997-1003. (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-2-2020) ISPRS Congress 2020 Commission II. 24, 31 Août 2020/2 Septembre 2020.

Image-based time series representations for pixelwise eucalyptus region classification: A comparative study. Dias Danielle, Dias Ulisses, Menini Nathalia, Lamparelli Rubens Augusto Camargo, Le Maire Guerric, da S. Torres Ricardo. 2020. IEEE Geoscience and Remote Sensing Letters, 17 (8) : 1450-1454.

Linking heterogeneous data for strengthening food security systems. Deleglise Hugo, Interdonato Roberto, Bégué Agnès, Teisseire Maguelonne, Roche Mathieu, Maître d'Hôtel Elodie. 2020. . Elsevier, MUSE, Wageningen University. s.l. : Elsevier, 1 p. International Conference on Global Food Security. 4, 4 Décembre 2020/9 Décembre 2020.

Machine learning using digitized herbarium specimens to advance phenological research. Pearson Katelin D., Nelson Gil, Aronson Myla F.J., Bonnet Pierre, Brenskelle Laura, Davis Charles C., Denny Ellen G., Ellwood Elizabeth R., Goeau Hervé, Heberling J. Mason, Joly Alexis, Lorieul Titouan, Mazer Susan J., Meineke Emily K., Stucky Brian J., Sweeney Patrick W., White Alexander E., Soltis Pamela S.. 2020. BioScience, 70 (7) : 610-620.

New perspectives on plant disease characterization based on deep learning. Lee Sue Han, Goeau Hervé, Bonnet Pierre, Joly Alexis. 2020. Computers and Electronics in Agriculture, 170:105220, 12 p.

Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationships. Gbodjo Yawogan Jean Eudes, Ienco Dino, Leroux Louise, Interdonato Roberto, Gaetano Raffaele, Ndao Babacar. 2020. Remote Sensing, 12 (17), n.spéc. Multi-Sensor Data Fusion and Analysis of Multi-Temporal Remote Sensed Imagery:2814, 28 p.

Overview of LifeCLEF 2020: A system-oriented evaluation of automated species identification and species distribution prediction. Joly Alexis, Goeau Hervé, Kahl Stefan, Deneu Benjamin, Servajean Maximilien, Cole Elijah, Picek Lukáš, Ruiz de Castañeda Rafael, Bolon Isabelle, Durso Andrew, Lorieul Titouan, Botella Christophe, Glotin Hervé, Champ Julien, Eggel Ivan, Vellinga Willem-Pier, Bonnet Pierre, Müller Henning. 2020. In : Experimental IR meets multilinguality, multimodality, and interaction: 11th International Conference of the CLEF Association, CLEF 2020, Thessaloniki, Greece, September 22–25, 2020, Proceedings. Arampatzis Avi (ed.), Kanoulas Evangelos (ed.), Tsikrika Theodora (ed.), Vrochidis Stefanos (ed.), et Al.. Cham : Springer, 342-363. (Lecture Notes in Computer Science, 12260) ISBN 978-3-030-58218-0 International Conference of the Cross-Language Evaluation Forum for European Languages, Thessaloniki, Grèce, 22 Septembre 2020/25 Septembre 2020.

Segmentación de instancias para detección automática de malezas y cultivos en campos de cultivo. Mora-Fallas Adán, Goeau Hervé, Joly Alexis, Bonnet Pierre, Mata-Montero Erick. 2020. Tecnología en Marcha, 33, n.spéc. Contribuciones a la Conferencia 6th Latin America High Performance Computing Conference (CARLA) : 13-17. Latin America High Performance Computing Conference. 6, Turrialba, Costa Rica, 25 Septembre 2019/27 Septembre 2019.

Supervised level-wise pretraining for sequential data classification. Ienco Dino, Interdonato Roberto, Gaetano Raffaele. 2020. In : Neural information processing, Part V. Yang Haiqin (ed.), Pasupa Kitsuchart (ed.), Leung Andrew Chi-Sing (ed.), Kwok James T. (ed.), Chan Jonathan H. (ed.). Cham : Springer, 449-457. (Communications in Computer and Information Science, 1333) ISBN 978-3-030-63822-1 International Conference on Neural Information Processing (ICONIP 2020). 27, Thaïlande, 18 Novembre 2020/22 Novembre 2020.

Weakly supervised learning for landcover mapping of satellite image timeseries via attention-based CNN. Ienco Dino, Gbodjo Yawogan Jean Eudes, Gaetano Raffaele, Interdonato Roberto. 2020. IEEE Access, 8 : 179547-179560.

A new method for counting reproductive structures in digitized herbarium specimens using mask R-CNN. Davis Charles C., Champ Julien, Park Daniel S., Breckheimer Ian, Lyra Goia M., Xie Junxi, Joly Alexis, Tarapore Dharmesh, Ellison Aaron M., Bonnet Pierre. 2020. Frontiers in Plant Science, 11:1129, 13 p.

Accelerating the automated detection, counting and measurements of reproductive organs in herbarium collections in the era of deep learning. Mora-Fallas Adán, Goeau Hervé, Mazer Susan J., Love Natalie, Mata-Montero Erick, Bonnet Pierre, Joly Alexis. 2019. Biodiversity Information Science and Standards, 3:e37341, 3 p. Biodiversity Next: Building a global infrastructure for biodiversity data, Leiden, Pays-Bas, 22 Octobre 2019/25 Octobre 2019.

Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover mapping via a multi-source deep learning architecture. Ienco Dino, Interdonato Roberto, Gaetano Raffaele, Ho Tong Minh Dinh. 2019. ISPRS Journal of Photogrammetry and Remote Sensing, 158 : 11-22.

Combining Sentinel-1 and Sentinel-2 Time Series via RNN for object-based land cover classification. Lenco Dino, Gaetano Raffaele, Interdonato Roberto, Osé Kenji, Tong Minh Dinh Ho. 2019. In : IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium proceedings. IEEE, GRSS. Yokohama : IEEE, 4881-4884. ISBN 978-1-5386-9154-0 IGARSS 2019, Yokohama, Japon, 28 Juillet 2019/2 Août 2019.

Overview of LifeCLEF plant identification task 2019: Diving into data deficient tropical countries. Goeau Hervé, Bonnet Pierre, Joly Alexis. 2019. In : Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum. Cappellato Linda (ed.), Ferro Nicola (ed.), Losada David E. (ed.), Müller Henning (ed.). Aachen : CEUR-WS, 13 p. (CEUR Workshop Proceedings, 2380) Conference and Labs of the Evaluation Forum (CLEF 2019), Lugano, Suisse, 9 Septembre 2019/12 Septembre 2019.

PixFruit: un outil d'acquisition, de gestion, et de partage de données pour une normalisation de la filière Mangue en Afrique de l'Ouest aux services de ses acteurs. Faye Emile, Sarron Julien, Diatta Jeanne, Borianne Philippe. 2019. In : AgriNumA'2019. Résumés des communications. Bonnet Pascal (ed.), Roche Mathieu (ed.), Kirchner Hélène (ed.). CIRAD, LIRIMA. Dakar : CIRAD, Résumé, 10-11. AgriNumA 2019 : Symposium “Agriculture Numérique en Afrique”, Dakar, Sénégal, 28 Avril 2019/30 Avril 2019.

Toward a large‐scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras. Lorieul Titouan, Pearson Katelin D., Ellwood Elizabeth R., Goeau Hervé, Molino Jean-François, Sweeney Patrick W., Yost Jennifer M., Sachs Joel, Mata-Montero Erick, Nelson Gil, Soltis Pamela S., Bonnet Pierre, Joly Alexis. 2019. Applications in Plant Sciences, 7 (3), n.spéc. Emerging Frontiers in Phenological Research:e01233, 14 p.

A dual viewpoint deep learning architecture for time series classification. Interdonato Roberto, Ienco Dino, Gaetano Raffaele, Osé Kenji. 2019. . European Space Agency, Italian Space Agency. Milan : ESA [European Space Agency], 1 p. 2019 Living Planet Symposium (LPS 2019), Milan, Italie, 13 Mai 2019/17 Mai 2019.

M3Fusion: A deep learning architecture for multiscale multimodal multitemporal satellite data fusion. Benedetti Paola, Ienco Dino, Gaetano Raffaele, Osé Kenji, Pensa Ruggero, Dupuy Stéphane. 2018. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11 (2) : 4939-4949.

M3Fusion : Un modèle d'apprentissage profond pour la fusion de données satellitaires Multi-{Echelles/Modalités/Temporelles}. Benedetti Paola, Gaetano Raffaele, Osé Kenji, Pensa Ruggero, Dupuy Stéphane, Ienco Dino. 2018. . SFPT. Marne-la-Vallée : s.n., 8 p. Conférence Française de Photogrammétrie et de Télédétection, Marne-la-Vallée, France, 26 Juin 2018/27 Juin 2018.